How to find Gradient of a Function using Python?
Last Updated :
28 Jul, 2020
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The gradient of a function simply means the rate of change of a function. We will use numdifftools to find Gradient of a function.
Examples:
Python3
Output:
Input : x^4+x+1 Output :Gradient of x^4+x+1 at x=1 is 4.99 Input :(1-x)^2+(y-x^2)^2 Output :Gradient of (1-x^2)+(y-x^2)^2 at (1, 2) is [-4. 2.]Approach:
- For Single variable function: For single variable function we can define directly using "lambda" as stated below:-
g=lambda x:(x**4)+x+1
- For Multi-Variable Function: We will define a function using "def" and pass an array "x" and it will return multivariate function as described below:-
def rosen(x): return (1-x[0])**2 +(x[1]-x[0]**2)**2
where 'rosen' is name of function and 'x' is passed as array.x[0]
andx[1]
are array elements in the same order as defined in array.i.e Function defined above is(1-x^2)+(y-x^2)^2
.
nd.Gradient(func_name)Example:
import numdifftools as nd
g = lambda x:(x**4)+x + 1
grad1 = nd.Gradient(g)([1])
print("Gradient of x ^ 4 + x+1 at x = 1 is ", grad1)
def rosen(x):
return (1-x[0])**2 +(x[1]-x[0]**2)**2
grad2 = nd.Gradient(rosen)([1, 2])
print("Gradient of (1-x ^ 2)+(y-x ^ 2)^2 at (1, 2) is ", grad2)
Gradient of x^4+x+1 at x=1 is 4.999999999999998 Gradient of (1-x^2)+(y-x^2)^2 at (1, 2) is [-4. 2.]